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Stanford's TherapyTrainer deploys AI to help therapists practice skills for written exposure therapy.
Stanford researchers show that although top language models cannot yet accurately diagnose children’s speech disorders, fine-tuning and other approaches could well change the game.
"The AI Index equips policymakers, researchers, and the public with the data they need to make informed decisions — and to ensure AI is developed with human-centered values at its core," says Russell Wald, Executive Director of Stanford HAI and Steering Committee member of the AI Index.
James Landay, Co-Founder of Stanford HAI, says disinformation, deepfake, discrimination and job displacement; of which not a lot has happened yet, are the real harms of AI.
In this recent interview on PBS’ Firing Line with Margaret Hoover, Dr. Fei-Fei Li, co-founder of the Stanford Institute for Human-Centered AI, discusses the dual nature of artificial intelligence as both a powerful tool for societal benefit and a potential risk if misused. She emphasizes the importance of ethical governance in AI development, advocating for a collaborative approach involving many perspectives to ensure that technological advancements prioritize human dignity and well-being.
Our vision for the future is led by our commitment to studying, guiding, and developing human-centered AI technologies and applications. We believe AI should be collaborative, augmentative, and enhancing human productivity and quality of life.
We empower leaders in education, policy, and civil society with AI fundamentals to amplify their impact for humanity.
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Focusing on AI technologies across industries and their business implications, Stanford faculty offer courses for leaders and key decision-makers.
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Exploring the unique opportunities and challenges that AI presents in civil society, philanthropy, and nonprofits.
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Policymakers and civil servants are at the front lines of decision-making on emerging technologies such as AI. Recognizing the valuable role they play in the AI governance ecosystem, Stanford HAI has developed specialized training programs to meet their needs.
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Christine Baker
Educating the next generation of AI leaders is core to what HAI is all about. Essential to this mission are leaders and decision makers within the K-12 ecosystem, teachers, and students.
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Stanford’s seven leading schools on the same campus enable HAI to offer a multidisciplinary approach to education.
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Through evidence-based research and global convenings, our policy work equips decision-makers with key insights into AI governance’s challenges and opportunities.
We have a historical opportunity and responsibility to establish a human-centered frameworkfor AI research, education, practice and policy.
At HAI, we view the field of AI as spanning the entire university. Unless we tap into the full gamut of disciplinary expertise we cannot hope to realize the potential of the technology while avoiding its pitfalls.
HAI was established to support innovative AI research that bridges disciplines and fields. The Institute aims to appoint and support promising researchers through its fellowship programs who are working at intersections often overlooked by traditional academic departments, in addition to outstanding researchers pursuing core disciplinary topics.
The Stanford Institute for Human-Centered AI strives to foster a culture of interdisciplinary AI research in which technological advancements are inextricably linked to research about their potential societal impacts. HAI builds on the strength of Stanford research by offering many grant programs.
Affinity Groups provide a space for students to share ideas, develop intellectually and strengthen the community of future leaders dedicated to building AI that benefits all of humanity.
Stanford's TherapyTrainer deploys AI to help therapists practice skills for written exposure therapy.
The Stanford HAI co-founder is recognized for breakthroughs that propelled computer vision and deep learning, and for championing human-centered AI and industry innovation.
“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.
With corporate AI labs turning inward, academia must carry forward the mantle of open science.
Stanford researchers show that although top language models cannot yet accurately diagnose children’s speech disorders, fine-tuning and other approaches could well change the game.
Policymakers and civil servants are at the front lines of decision-making on emerging technologies such as AI. Recognizing the valuable role they play in the AI governance ecosystem, Stanford HAI has developed specialized training programs to meet their needs.
